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WOS Indexed (2023)
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Chinese Journal of Evidence-Based Medicine Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption
04 Dec 2023 (Vol - 54 , Issue- 12 )
31 Dec 2023 (Vol - 54 , Issue 12 )
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
An integrated framework for apple recognition and localization using deep learning and machine vision
With the wide application of Internet of Things technologies, the apple harvesting method is transformed from manual to intelligent and automatic mode. The accurate apple recognition and localization in the orchard is the basic step for the automatic picking. However, most of the existing research focused on the one part of the detection system or just detection of apples in the orchard, which often lead to the not applicable in real-life environment or long computation time of detection. To meet these issue, an integrated framework for apple recognition and localization using deep learning and machine vision is proposed. Firstly, the two sided stereovision camera is configured to establish an automatic apple recognition and localization system. Secondly, the Yolo v3 algorithm is applied to fulfil the apple recognition target. Then, the three dimensional (3D) model reconstruction technology is used to achieve the apple localization goal. At last, a case from our lab is used to demonstrate the feasibility and effectiveness of the proposed method.
The Pivotal Role of Home Environment in Academically Bright Rural Young Adolescents’ Creative Endeavors
During the recent few decades educators and parents have emphasized on the special talents, needs and abilities of children. Therefore, solving problems in creative way is recognized as a major factor in achieving high educational aims which is only possible through creativity. Additionally, world requires innovators to solve global social, economic and environmental issues. Hence, both creativity and innovation have become areas of concern worldwide. Hence, the present study was designed in such a way to investigate the influence of home-environment related variables (number of siblings, birth order and land holding) on the young adolescents’ creativity. To achieve this aim, standardized Passi Test of Creativity (PTC, 2006) developed by B.K. Passi was implemented on 300 academically bright rural young adolescents (both boys and girls) aged between 12 and 14 years. Results findings elucidated significant differences in unusual uses flexibility across birth order of the adolescents. Unusual uses fluency, unusual uses flexibility and unusual uses creativity had significant differences across number of siblings. Highly significant differences were elucidated in young adolescents’ inquisitiveness level.
Development of Image Analysis method for physical characterisation and determination of fibre content by physicochemical analysis of banana pseudostem
Banana pseudostem varieties from triplod cultivars of Musa acuminata (A) and Musa balbisiana (B) were evaluated in this study for fibre content through image analysis techniques. The samples were dried at 600C in tray drier and were subjected to proximate analysis. At the moisture content of 95.60,94.65,93.20,93.20 and 97.40% for five different cultivars namely Poovan (AAB), Neypoovan (AAB), Rasthali (AAB), Karpuravalli (ABB) and Monthan (ABB) proximate analysis showed Monthan has the highest fibre content (38.4±0.32) and lowest fat content (3.5±0.02). Morphological analysis including size and colour was performed through image processing using LabView software and validated with standard measurements(p≤0.05). Acquired images were subjected to histogram representation through R, G and B components showed a wide range from 5 to 255 for different varieties. The results indicated that colour of Monthan variety (ΔE 57.88±0.3) is lowest compared to other varieties and hence more suitable for development of fibre enriched food products. Image processing was used to measure the external and internal properties of intact fibre in the banana pseudostem for its effective quality grading.
ANALYSIS ON MOTION CHARACTERISTIC OF DAZOMET IN THE CENTRIFUGAL DISC SPREADING PROCESS AND SPREADING PARAMETER OPTIMIZATION TEST
Dazomet can effectively suppress the outbreak of blight by killing a variety of nematodes and pathogens in the soil. There are few studies on the application dosage and the uniformity of dazomet by mechanized spreading. The motion model of dazomet, which can be the theoretical basis for experimental study, was obtained by analyzing the motion characteristic of dazomet in the centrifugal disc spreading process. Taking rotation speed of the spreading disk, opening degree, and forward speed as control factors, and the application dosage and the uniformity (transverse coefficient of variation) of dazomet in the designated spreading area as evaluation index, a bench test based on Box-Behnken Design (BBD) test method was carried out. Quadratic regression equations of application and uniformity amount with control factors were established respectively. In the end, a strategy to determine the combination of working parameters was proposed, and a verification test is carried out to confirm the accuracy and rationality of the strategy. The results indicate that the combination of working parameters based on the strategy meets the technical requirements of the dazomet spreading.
Design and Experiment on Device of Shallow Turning and Subsoiling under Specific Agronomic Requirements of Potato
Aiming at the problems such as single working performance and poor effect of subsoiling and turning soil in the operation process of potato tillage machinery, a shallow turning and subsoiling device is designed and its main structure, working principle, and corresponding agronomic requirements are described. The conditions of plowing during shallow turning and the forces between subsoiler and furrow slice during subsoiling are analyzed. The factors that affecting the effect of plowing and the quality of subsoiling operation are determined. The rotating orthogonal combination experiment is used to optimize the key components, taking the plough body angle, plough body tillage depth, subsoiler tillage depth and machine operation speed as experimental factors, the plowing rate and the tillage depth stability as experimental indexes, analyzing field test results. The structure parameters and operation parameters of shallow turning and subsoiling device are optimized by optimization module in Design-Expert 8.0.6 software, the angle of plough body is 35°, the tillage depth of plough body is 179 mm, the tillage depth of subsoiler is 356 mm, and the machine operation speed is 1.16 m/s. The experimental results demonstrate that the plowing rate is 86.23% and the tillage depth stability is 92.17%. The soil tillage requirements before potato planting can be met, the reference for design and application of potato tillage machinery is provided.